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An Adaptive Algorithm for Calculating Crosstalk Error for Blind Source Separation
Volume 31, Issue 2 (2020), pp. 299–312
Pub. online: 6 May 2020      Type: Research Article      Open accessOpen Access
Received
1 November 2018
Accepted
1 February 2020
Published
6 May 2020

Abstract

The crosstalk error is widely used to evaluate the performance of blind source separation. However, it needs to know the global separation matrix in advance, and it is not robust. In order to solve these problems, a new adaptive algorithm for calculating crosstalk error is presented, which calculates the crosstalk error by a cost function of least squares criterion, and the robustness of the crosstalk error is improved by introducing the position information of the maximum value in the global separation matrix. Finally, the method is compared with the conventional RLS algorithms in terms of performance, robustness and convergence rate. Furthermore, its validity is verified by simulation experiments and real world signals experiments.

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Biographies

Lang Rongling

R. Lang is currently an associate professor in the school of Electronic and Information Engineering in BeiHang University. She got BSc degree and MSc degree in applied mathematics, Northwestern Polytechnical University, P.R. China, in 2002. She received PhD degree in automatic control, Northwestern Polytechnical University, Xi’an, PR China, in 2005. Currently, her research area are data driven GNSS signal monitoring, fault Diagnosis and Fault Prognosis.

Ye Wanyang

W. Ye is currently pursuing his master’s degree in communication and information engineering in Beihang University, Beijing, China. He received his bachelor’s degree in electronics and information engineering from Beihang University, Beijing, China. He is currently doing the research on blind signal processing research.

Zhao Fei

F. Zhao got his master’s degree in communication and information engineering in Beihang University, Beijing, China. He received his bachelor’s degree in communication engineering from China University of Geosciences, Beijing, China. He is now doing the research on jamming suppression in satellite navigation system, blind signal processing and spatial spectrum estimation.

Li Zi
Zilihuaiyin@163.com

Z. Li is currently an associate professor in Faculty of Foreign Languages at Huaiyin Institute of Technology. She got her master degree in translation, PLA University of Foreign Languages, PR China, in 2011 and is now studying for a PhD at School of Public Policy and Management at China University of Mining and Technology, PR China. Currently, her research interests include translation and English education.


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Copyright
© 2020 Vilnius University
Open access article under the CC BY license.

Keywords
blind source separation crosstalk error global separation matrix robustness

Funding
This work was partly supported by Pre-research funds (61405180203), the Open Foundation of Shaanxi Key Laboratory of Integrated and Intelligent Navigation (SKLIIN-20180207, SKLIIN-20180106).

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